A Bayesian optimization method with heteroscedastic Gaussian process surrogate and movement switching cost achieves sublinear regret and effective source localization in simulations for radioactive source seeking.
3D Radiation Mapping Using Gaussian Process Regression with Intensity Projection , volume =
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Radioactive Source Seeking using Bayesian Optimisation with Movement Penalty
A Bayesian optimization method with heteroscedastic Gaussian process surrogate and movement switching cost achieves sublinear regret and effective source localization in simulations for radioactive source seeking.